RRepoGEO

REPOGEO REPORT · LITE

ZHangZHengEric/Sage

Default branch main · commit e5bf4229 · scanned 5/23/2026, 5:12:12 AM

GitHub: 1,257 stars · 98 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ZHangZHengEric/Sage, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clearly state the project's core identity

    Why:

    CURRENT
    # 🌟 **Experience Sage's Power**

[](README.md)
...
# 🧠 **Sage Agent Platform**

### 🎯 **From Complex Work to Reliable Delivery**

> 🌟 **A production-ready agent platform for task execution, automation, browser workflows, IM delivery, and enterprise deployment.**
    COPY-PASTE FIX
    # 🧠 **Sage Agent Platform**

> 🌟 **Sage is a production-ready multi-agent system platform designed for task execution, automation, browser workflows, IM delivery, and enterprise deployment.**

### 🎯 **From Complex Work to Reliable Delivery**
  • hightopics#2
    Correct typos and expand project topics for better categorization

    Why:

    CURRENT
    agents, ai, llm, manus, muilt-agents, workflow
    COPY-PASTE FIX
    agents, ai, llm, multi-agent-system, multi-agent, workflow, automation, enterprise, production-ready, framework, platform
  • mediumabout#3
    Refine the repository description to emphasize 'platform' and 'production-ready'

    Why:

    CURRENT
    Multi-Agent System Framework For Complex Tasks
    COPY-PASTE FIX
    Production-ready Multi-Agent System Platform for Complex Task Automation and Enterprise Deployment

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface ZHangZHengEric/Sage
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. SPADE · recommended 1×
  • CATEGORY QUERY
    Looking for a framework to build multi-agent systems for complex task automation and execution.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. SPADE
    6. Mesa

    AI recommended 6 alternatives but never named ZHangZHengEric/Sage. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best production-ready AI agent platforms for automating browser workflows and enterprise tasks?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Robocorp (robocorp/rpaframework)
    5. Robot Framework (robotframework/robotframework)
    6. UiPath
    7. Automation Anywhere
    8. Microsoft Power Automate
    9. Dynamics 365
    10. SharePoint
    11. Azure AI services
    12. Browserless.io
    13. Puppeteer (puppeteer/puppeteer)
    14. OpenAI APIs

    AI recommended 14 alternatives but never named ZHangZHengEric/Sage. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of ZHangZHengEric/Sage?
    pass
    AI named ZHangZHengEric/Sage explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ZHangZHengEric/Sage in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ZHangZHengEric/Sage explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo ZHangZHengEric/Sage solve, and who is the primary audience?
    pass
    AI named ZHangZHengEric/Sage explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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ZHangZHengEric/Sage — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite